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A research analyzes the connection between purchasing power and actions against climate change

A study by URV, UB, UNIZAR and UC3M

11/5/18

People with fewer resources contribute more to actions against climate change. This is the main result of a research that, by making a citizen science experiment, explores how to act collectively fighting the climate change. The study, in which it has been measured how a group of people acts against the possibility of a common catastrophe, has shown that people are more or less likely to contribute money to fighting climate change depending on how wealthy they are. These are the principal findings of a research published in the journal PLOS ONE by researchers from the Universitat Rovira i Virgili, the University of Barcelona, the University of Zaragoza and the Carlos III University of Madrid.

To do so the researchers designed a “lab-in-the-field” experiment involving more than 320 individuals divided into 54 groups of 6 people. The experiment was conducted as follows. A total of 240 euros was given to each group of individuals. Each member of the group was given a specific amount of money. In half of the groups the 240 euros were divided evenly into 40 euros for each member. In the other half, the money was distributed unevenly in quantities from 20 to 60 euros. The experiment took place on the street and during the DAU table games fair organized by the Institute of Culture of Barcelona.

From here on, each person then had to contribute to a common fund in order to reach a specific goal, namely 120 euros to be used in an activity against climate change, in this case planting trees in Collserola. The participants were allowed to keep any money that was left over. At the start of the experiment, each participant knew how much money the other had and at the end of each round they could see how much money each person had contributed.

In this way, the researchers were able to test the economic effort that each individual was prepared to make for a common benefit, in this instance the fight against climate change. The results showed that, although all the groups achieved the collective goal of 120 euros, “the effort distribution was highly inequitable”, explained Jordi Duch, from the Alephsys (Algorithms Embedded in Physical Systems) research group at the Universitat Rovira i Virgili.

Specifically participants with fewer resources contributed significantly more to the public good than the richer, sometimes up to twice as much in relative terms. The researchers concluded that the poorest participants could be classified in two “generous behavior groups” whereas the richest were mostly classified into a “greedy cluster”.

The results suggest that future policies could be improved if they reinforced climate justice actions and taught the importance of fairness rather than focusing on teaching people about generic or global climate consequences, as the latter have not been proven to lead to equitable contributions.

“In fact, the study demonstrates once again that cooperation is better than competition at achieving socially desirable outcomes and that, in the case of climate change, cooperation is needed between all of the agents involved ”, said one of the other authors of the study, Anxo Sánchez, professor at the Department of Mathematics of the Universidad Carlos III de Madrid (UC3M).

Poorer and more vulnerable

The analysis of the results indicates that the groups in which the initial capital was evenly distributed showed two different types of behaviour: one where individuals contributed with quantities considered fair (approximately half of their initial capital), and another where people contributed with much more than was considered fair. Nevertheless, there were many differences in the groups in which the money was unevenly distributed from the start. Those with more money (50 or 60 euros) contributed less than was considered fair, in contrast to those who had less (20 or 30 euros), who proportionately contributed much more.

These results show that “given the inequalities, the poorest groups are the most vulnerable and, therefore, are the ones who suffer most” explained Julián Vicens, currently a researcher for the OpenSystems research group and member of the Institute of Complex Systems of the UB.

The experimental software, implemented on tablets, simulates strategic social interactions based on game theory and presents social dilemmas that generate tension between individual interest and the common good, whereas machine learning algorithms have been applied to identify patterns of behavior.